Senior Data Scientist

Overview

Job Purpose and Impact

Intelligent Supply Chain Optimization Lead will work collaboratively in multidisciplinary teams to define, develop and deploy complex supply chain digital solutions at scale. In this role, you will deploy predictive and optimization models at scale for digital supply chain products that help deliver significant value to our customers, businesses and functions. Key Accountabilities

Continuously seek out best practices and develop skills. andContribute to design, and implementation of new features, and deploy optimization solutions for intelligent supply chain applications.
Work and consult on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver highly complex large-scale projects on time.
Take ownership and work with limiter supervision for the entire supply chain data science workflow including well defined, highly complex project scoping, exploratory data analysis, model development, deployment and monitoring.
Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deploy complex large-scale projects on time.
Provide expert thought leadership in optimization and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor. Qualifications

Bachelor’s degree in CS, Operational Research, Math OR related field OR Equivalent.
Deep understanding of optimization (constrained, convex and non-convex optimization problems, and LP, QP, MILP, MINLP, problems and solvers).
Strong coding skills in Python or OOP
Minimum of 4 years of related work experience.
Professional experience applying optimization for Supply Chain solutions.
Experience on Optimizer model development with Gurobi, CPLEX.
Experience with scalable ML(distributed systems, MapReduce, streaming, etc.).